CESAR PEREZ LOPEZ's Books

MATLAB Matrix Algebra

By: Cesar Lopez

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MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Matrix Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting with a look at symbolic and numeric variables, with an emphasis on vector and matrix variables, you will go on to examine functions and operations that support vectors and matrices as arguments, including those based on analytic parent functions. Computational methods for finding eigenvalues and eigenvectors of matrices are detailed, leading to various matrix decompositions. Applications such as change of bases, the classification of quadratic forms and how to solve systems of linear equations are described, with numerous examples. A section is dedicated to sparse matrices and other types of special matrices. In addition to its treatment of matrices, you will also learn how MATLAB can be used to work with arrays, lists, tables, sequences and sets.

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234

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ISBN 10

1484203070

ISBN 13

9781484203071

MATLAB Programming for Numerical Analysis

By: Cesar Lopez

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MATLAB Programming for Numerical Analysis

By: Cesar Lopez

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. Programming MATLAB for Numerical Analysis introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. You will first become familiar with the MATLAB environment, and then you will begin to harness the power of MATLAB. You will learn the MATLAB language, starting with an introduction to variables, and how to manipulate numbers, vectors, matrices, arrays and character strings. You will learn about MATLAB’s high-precision capabilities, and how you can use MATLAB to solve problems, making use of arithmetic, relational and logical operators in combination with the common functions and operations of real and complex analysis and linear algebra. You will learn to implement various numerical methods for optimization, interpolation and solving non-linear equations. You will discover how MATLAB can solve problems in differential and integral calculus, both numerically and symbolically, including techniques for solving ordinary and partial differential equations, and how to graph the solutions in brilliant high resolution. You will then expand your knowledge of the MATLAB language by learning how to use commands which enable you to investigate the convergence of sequences and series, and explore continuity and other analytical features of functions in one and several variables.

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238

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ISBN 10

1484202953

ISBN 13

9781484202951

MATLAB Differential Equations

By: Cesar Lopez

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MATLAB Differential Equations

By: Cesar Lopez

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178

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ISBN 10

1484203100

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9781484203101

MATLAB Linear Algebra

By: Cesar Lopez

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MATLAB Linear Algebra

By: Cesar Lopez

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264

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ISBN 10

1484203224

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9781484203224

MATLAB Control Systems Engineering

By: Cesar Lopez

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MATLAB Control Systems Engineering

By: Cesar Lopez

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Control Systems Engineering introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to design and analyze control systems using MATLAB’s specialized Control Systems Toolbox. The Control Systems Toolbox offers an extensive range of tools for classical and modern control design. Using these tools you can create models of linear time-invariant systems in transfer function, zero-pole-gain or state space format. You can manipulate both discrete-time and continuous-time systems and convert between various representations. You can calculate and graph time response, frequency response and loci of roots. Other functions allow you to perform pole placement, optimal control and estimates. The Control System Toolbox is open and extendible, allowing you to create customized M-files to suit your specific applications.

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170

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ISBN 10

1484202899

ISBN 13

9781484202890

MATLAB Graphical Programming

Practical hands-on MATLAB solutions

By: Cesar Lopez

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MATLAB Graphical Programming

Practical hands-on MATLAB solutions

By: Cesar Lopez

MATLAB enables you to work with its graphics capabilities in almost all areas of the experimental sciences and engineering. The commands that MATLAB implements in job related graphics are quite useful and are very efficient. MATLAB has functions for working with two-dimensional and three-dimensional graphics, statistical graphs, curves and surfaces in explicit, implicit, parametric and polar coordinates. It also works perfectly with twisted curves, surfaces, volumes and graphical interpolation. MATLAB Graphical Programming addresses all these issues by developing the following topics:This book is a reference designed to give you a simple syntax example of the commands and to graph it so that you can see the result for:

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195

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ISBN 10

148420316X

ISBN 13

9781484203163

MATLAB Numerical Calculations

By: Cesar Lopez

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MATLAB Numerical Calculations

By: Cesar Lopez

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. This book is designed for use as a scientific/business calculator so that you can get numerical solutions to problems involving a wide array of mathematics using MATLAB. Just look up the function you want in the book and you are ready to use it in MATLAB or use the book to learn about the enormous range of options that MATLAB offers. MATLAB Numerical Calculations focuses on MATLAB capabilities to give you numerical solutions to problems you are likely to encounter in your professional or scholastic life. It introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting with a look at basic MATLAB functionality with integers, rational numbers and real and complex numbers, and MATLAB's relationship with Maple, you will learn how to solve equations in MATLAB, and how to simplify the results. You will see how MATLAB incorporates vector, matrix and character variables, and functions thereof. MATLAB is a powerful tool used to defined, manipulate and simplify complex algebraic expressions. With MATLAB you can also work with ease in matrix algebra, making use of commands which allow you to find eigenvalues, eigenvectors, determinants, norms and various matrix decompositions, among many other features. Lastly, you will see how you can write scripts and use MATLAB to explore numerical analysis, finding approximations of integrals, derivatives and numerical solutions of differential equations.

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324

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ISBN 10

1484203461

ISBN 13

9781484203460

MATLAB Symbolic Algebra and Calculus Tools

By: Cesar Lopez

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MATLAB Symbolic Algebra and Calculus Tools

By: Cesar Lopez

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Symbolic Algebra and Calculus Tools introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting with a look at symbolic variables and functions, you will learn how to solve equations in MATLAB, both symbolically and numerically, and how to simplify the results. Extensive coverage of polynomial solutions, inequalities and systems of equations are covered in detail. You will see how MATLAB incorporates vector, matrix and character variables, and functions thereof. MATLAB is a powerful symbolic manipulator which enables you to factorize, expand and simplify complex algebraic expressions over all common fields (including over finite fields and algebraic field extensions of the rational numbers). With MATLAB you can also work with ease in matrix algebra, making use of commands which allow you to find eigenvalues, eigenvectors, determinants, norms and various matrix decompositions, among many other features. Lastly, you will see how you can use MATLAB to explore mathematical analysis, finding limits of sequences and functions, sums of series, integrals, derivatives and solving differential equation.

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254

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ISBN 10

1484203437

ISBN 13

9781484203439

MATLAB Differential and Integral Calculus

By: Cesar Lopez

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MATLAB Differential and Integral Calculus

By: Cesar Lopez

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Differential and Integral Calculus introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving a short introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work with ease in differential and integral calculus in one and several variables. Among other core topics of calculus, you will use MATLAB to investigate convergence, find limits of sequences and series and, for the purpose of exploring continuity, limits of functions. Various kinds of local approximations of functions are introduced, including Taylor and Laurent series. Symbolic and numerical techniques of differentiation and integration are covered with numerous examples, including applications to finding maxima and minima, areas, arc lengths, surface areas and volumes. You will also see how MATLAB can be used to solve problems in vector calculus and how to solve differential and difference equations.

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220

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ISBN 10

1484203046

ISBN 13

9781484203040

MATLAB Mathematical Analysis

By: Cesar Lopez

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MATLAB Mathematical Analysis

By: Cesar Lopez

MATLAB Mathematical Analysis is a reference book that presents the techniques of mathematical analysis through examples and exercises resolved with MATLAB software. The purpose is to give you examples of the mathematical analysis functions offered by MATLAB so that you can use them in your daily work regardless of the application. The book supposes proper training in the mathematics and so presents the basic knowledge required to be able to use MATLAB for calculational or symbolic solutions to your problems for a vast amount of MATLAB functions. The book begins by introducing the reader to the use of numbers, operators, variables and functions in the MATLAB environment. Then it delves into working with complex variables. A large section is devoted to working with and developing graphical representations of curves, surfaces and volumes. MATLAB functions allow working with two-dimensional and three-dimensional graphics, statistical graphs, curves and surfaces in explicit, implicit, parametric and polar coordinates. Additional work implements twisted curves, surfaces, meshes, contours, volumes and graphical interpolation. The following part covers limits, functions, continuity and numerical and power series. Then differentiation is addressed in one and several variables including differential theorems for vector fields. Thereafter the topic of integration is handled including improper integrals, definite and indefinite integration, integration in multiple variables and multiple integrals and their applications. Differential equations are exemplified in detail, Laplace transforms, Tayor series, and the Runga-Kutta method and partial differential equations.

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356

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ISBN 10

1484203496

ISBN 13

9781484203491

MATLAB Optimization Techniques

By: Cesar Lopez

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MATLAB Optimization Techniques

By: Cesar Lopez

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284

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ISBN 10

1484202929

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9781484202920

MACHINE LEARNING. TÉCNICAS DE APRENDIZAJE SUPERVISADO A TRAVÉS DE R

By: Cesar Perez Lopez

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MACHINE LEARNING. TÉCNICAS DE APRENDIZAJE SUPERVISADO A TRAVÉS DE R

By: Cesar Perez Lopez

En este libro se desarrollarán técnicas de aprendizaje supervisado relativas a regresión. Más concretamente, se profundizará en los modelos lineales de regresión múltiple con toda su problemática de identificación, estimación y diagnosis. Se hace especial hincapié en el tratamiento de la multicolinealidad a través de la Ridge Regression (regresión en cadena) y el método PLS de los mínimos cuadrados parciales. Se dedica una parcela importante del contenido a los modelos de variable dependiente limitada y recuento, con especial mención a los modelos Logit y Probit. Por último se tratan también los modelos predictivos del análisis de la varianza y la covarianza.

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205

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CESAR PEREZ

ISBN 10

1716967090

ISBN 13

9781716967092

Big Data and Deep Learning. Examples with MATLAB

By: C. Perez

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Big Data and Deep Learning. Examples with MATLAB

By: C. Perez

Big Data Analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today's technology, it's possible to analyze your data and get answers from it almost immediately - an effort that's slower and less efficient with more traditional business intelligence solutions. Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high level abstractions in data. Various deep learning architectures such as deep neural networks, convolutional deep neural networks, deep belief networks and recurrent neural networks have been applied to fields like computer vision, automatic speech recognition, natural language processing, audio recognition and bioinformatics where they have been shown to produce state-of-the-art results on various tasks.Deep learning has been characterized as a buzzword, or a rebranding of neural networks. This book deeps in big data and deep learning techniques

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328

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CESAR PEREZ

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ISBN 10

1716877563

ISBN 13

9781716877568

DESCRIPTIVE STATISTICS WITH R

By: CESAR PEREZ LOPEZ

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DESCRIPTIVE STATISTICS WITH R

By: CESAR PEREZ LOPEZ

R is a programming language and environment for statistical and graphical analysis. It is a free software project widely used by the statistical community. R implements a multitude of commands and functions to work in the statistical field. Specifically, this book delves into the work with R in Descriptive Statistics. It incorporates the functions for initial data treatment, exploratory data analysis, statistical graphs, quantitative expression of distributions, measures of centralization, measures of dispersion and shape, correlation, covariance, linear regression model, logistic regression, probit model, and other topics of descriptive statistics. The chapters begin with brief methodological notes and incorporate a variety of examples and exercises solved with the R software.

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254

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ISBN 10

1008970360

ISBN 13

9781008970366

DYNAMIC ECONOMETRIC STRUCTURAL STABILITY, COINTEGRATION AND PANEL DATA

By: Cesar Perez Lopez

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DYNAMIC ECONOMETRIC STRUCTURAL STABILITY, COINTEGRATION AND PANEL DATA

By: Cesar Perez Lopez

Usually explanatory variables in an econometric model are supposed related at one time with the endogenous variable, so usually the temporary sub-indices of all variables are equal. However, economic theory and other sciences lead us to dynamic relationship between the variables, since the impacts between variables can become manifest in later periods or extended to many periods. In this way appear dynamic models with variables out in time. Dynamic models usually seen three different situations according to the variables affected by delays. It may be that the delays involved only to exogenous variables, only the endogenous variable or simultaneously to endogenous and exogenous variables. This book covers a wide typology of dynamic models including models with distributed delays, models with stochastic regressors, models with structural change and dynamic panel data models. Widely is the theory of unit roots, the Cointegration and error correction models. And all this from a perspective multi-software, using the latest software on the market suitable for these non-trivial econometric tasks (SAS, EVIEWS, SPSS and STATA).

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223

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CESAR PEREZ

ISBN 10

1716278619

ISBN 13

9781716278617

Econometric Models with Panel Data : Applications with STATA

By: César Pérez López

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Econometric Models with Panel Data : Applications with STATA

By: César Pérez López

The data panels are a special type of samples in which the behavior of a certain number of economic agents is followed over time. In this way, the researcher can perform economic analysis and specify models with the data of cross section that are obtained when all operators are considered in an instant of time. Different patterns of behaviour of all agents together studied in the different temporal moments may thus be assessed. Alternatively, you can perform the same analysis considering time series given by the evolution of each economic agent throughout all the periods of the sample. This book explores the panel data econometrics through STATA. The most important topics are the following: Linear regression estimators in panel data models, fixed and random effects, heteroskedasticity and autocorrelation in panel data models, instrumental variables and two stage least squares in panel data models, dynamic panel data models, logit and probit panel data models, censored panel data models, count panel data models, Tobit panel data models, Poisson panel data models, negative binomial panel data models and others models with panel data.".

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188

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CESAR PEREZ

Published Date

ISBN 10

1008984132

ISBN 13

9781008984134

DEEP LEARNING with MATLAB. NEURAL NETWORKS by EXAMPLES

By: Cesar Perez Lopez

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DEEP LEARNING with MATLAB. NEURAL NETWORKS by EXAMPLES

By: Cesar Perez Lopez

MATLAB has the tool Deep Learning Toolbox that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image classification and feature learning tasks. To speed up training of large data sets (Big data), you can distribute computations and data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox.

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154

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CESAR PEREZ

Published Date

ISBN 10

1716584841

ISBN 13

9781716584848

MATLAB Linear Algebra

By: Cesar Lopez

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MATLAB Linear Algebra

By: Cesar Lopez

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264

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1484203224

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9781484203224

DATA STATISTICAL ANALYSIS WITH R

By: CESAR PEREZ LOPEZ

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DATA STATISTICAL ANALYSIS WITH R

By: CESAR PEREZ LOPEZ

R is a program focused primarily on statistical data analysis. This book deals with the most important facets of data analysis applied with R, including exploratory data analysis, descriptive statistics, graphs, regression models, generalized linear models, analysis of variance models, dimension reduction techniques, principal components, factor analysis, cluster analysis and other topics of multivariate data analysis

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222

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CESAR PEREZ

ISBN 10

1008971162

ISBN 13

9781008971165

PREDICTIVE ANALYTICS with NEURAL NETWORKS Using MATLAB

By: Cesar Perez Lopez

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PREDICTIVE ANALYTICS with NEURAL NETWORKS Using MATLAB

By: Cesar Perez Lopez

Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events. Different work fields with neural networks and predictive analytics techniques are listed below: The multilayer perceptron (MLP), A radial basis function (RBF), Support vector machines (SVM), Fit regression models with neural networks, Time series neural networks, Hopfield and linear neural networks, Generalized regression and LVQ neural networks, Adaptative linear filters and non linear problems

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239

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CESAR PEREZ

Published Date

ISBN 10

1716601568

ISBN 13

9781716601569

MATLAB Control Systems Engineering

By: Cesar Lopez

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MATLAB Control Systems Engineering

By: Cesar Lopez

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Control Systems Engineering introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to design and analyze control systems using MATLAB’s specialized Control Systems Toolbox. The Control Systems Toolbox offers an extensive range of tools for classical and modern control design. Using these tools you can create models of linear time-invariant systems in transfer function, zero-pole-gain or state space format. You can manipulate both discrete-time and continuous-time systems and convert between various representations. You can calculate and graph time response, frequency response and loci of roots. Other functions allow you to perform pole placement, optimal control and estimates. The Control System Toolbox is open and extendible, allowing you to create customized M-files to suit your specific applications.

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180

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Published Date

ISBN 10

1484202910

ISBN 13

9781484202913

SAS Data Mining

By: Cesar Lopez

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SAS Data Mining

By: Cesar Lopez

Data mining is used today in many different fields including banking, financial analysis of markets, insurance and private health sectors, education, industrial processes, medicine, biology, bioengineering and telecommunication. But regardless of the field in which it is applied, the core concepts and tasks of data mining do not require nor domain-specific knowledge, nor advanced mathematical treatments. SAS Data Mining presents the most common techniques used in SAS data mining in a simple and easy to understand way using SAS Enterprise Miner, regardless of the specific field you're working in, and without needing to draw on complicated mathematical algorithms. SAS Data Mining therefore describes data mining techniques to you in accessible language and clear, practical, hands-on examples and exercises. Each chapter presents a data mining case study, including the results of the case study, you've built and an interpretation of its results, which is so vital of course to your data mining work. SAS Data Mining begins with an introduction to data mining data and its distinct phases. You'll then learn how to develop the initial phases which include the selection of information, data exploration, data cleansing, transformation of data, and related issues. After these initial data mining phases, this book goes into practical, hands-on detail on both predictive and descriptive data mining techniques. The predictive techniques you'll learn about cover regression, discriminant analysis, decision trees, neural networks, and other model-based techniques. The descriptive techniques then work with variable dimension reduction techniques, techniques of classification and segmentation (clustering), and exploratory data analysis techniques.

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